Rodríguez-Ramilo Silvia T, De La Herrán Roberto, Ruiz-Rejón Carmelo, Hermida Miguel, Fernández Carlos, Pereiro Patricia, Figueras Antonio, Bouza Carmen, Toro Miguel A, Martínez Paulino, Fernández Jesús
Mar Biotechnol (NY). 2014 Jun;16(3):265-76. doi: 10.1007/s10126-013-9544-x.
One of the main objectives of genetic breeding programs in turbot industry is to reduce disease-related mortality. In the present study, a genome scan to detect quantitative trait loci (QTL) affecting resistance and survival to viral haemorrhagic septicaemia (VHS) was carried out. Three full-sib families with approximately 90 individuals each were genotyped and evaluated by linear regression and maximum likelihood approaches. In addition, a comparison between QTL detected for resistance and survival time to other important bacterial and parasite diseases affecting turbot (furunculosis and scuticociliatosis) was also carried out. Finally, the relationship between QTL affecting resistance/survival time to the virus and growth-related QTL was also evaluated. Several genomic regions controlling resistance and survival time to VHS were detected. Also significant associations between the evaluated traits and genotypes at particular markers were identified, explaining up to 14 % of the phenotypic variance. Several genomic regions controlling general and specific resistance to different diseases in turbot were detected. A preliminary gene mining approach identified candidate genes related to general or specific immunity. This information will be valuable to develop marker-assisted selection programs and to discover candidate genes related to disease resistance to improve turbot production.
大菱鲆养殖业遗传育种计划的主要目标之一是降低与疾病相关的死亡率。在本研究中,进行了一次全基因组扫描,以检测影响对病毒性出血性败血症(VHS)抵抗力和存活能力的数量性状基因座(QTL)。对三个全同胞家系进行了基因分型,每个家系约有90个个体,并采用线性回归和最大似然法进行评估。此外,还比较了检测到的影响对VHS抵抗力和存活时间的QTL与影响大菱鲆其他重要细菌和寄生虫疾病(疖疮病和盾纤毛虫病)的QTL。最后,还评估了影响对病毒抵抗力/存活时间的QTL与生长相关QTL之间的关系。检测到了几个控制对VHS抵抗力和存活时间的基因组区域。还确定了特定标记处评估性状与基因型之间的显著关联,解释了高达14%的表型变异。检测到了几个控制大菱鲆对不同疾病的一般和特异性抵抗力的基因组区域。一种初步的基因挖掘方法确定了与一般或特异性免疫相关的候选基因。这些信息对于制定标记辅助选择计划以及发现与抗病性相关的候选基因以提高大菱鲆产量具有重要价值。